Result:
a).
Multiple regression equation
b).
1 dependent 4 independent
c).
Regression coefficient.
d).
when x1=5, x2=290, x3=90, x4=39
estimated y =10.4+0.3*5+0.686*290+0.412*90+0.003*39
=248.037
Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance...
hompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed: x1 = Length of time an employee was in the industry x2 = Mechanical aptitude test score x3 = Prior on-the-job...
page 423 and 424, #2 a) How many dependent variables? b) How many independent variables? c) What is the number 0.286 called? d) As age increases by one year, how much does estimated performance on the new machine increase? e) Carl applied for a job. He has been in the business for 6 years and scored 280 on the mechanical aptitute test. Carl's prior performance rating is 97 and he is 35 years old. Estimate Carl's performance on the new...
d. As age increases by one year, how much does estimated performance on the new machine increase? (Round the final answer to 3 decimal places.) Estimated performance = ? Thompson Photo Works purchased several new, highly sophisticated machines. The production department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as a machine operator important? To further explore the factors needed to estimate performance on the new machines, four...
1. Many companies use a incoming shipments of parts, raw materials, and so on. In the electronics industry, component parts are commonly shipped from suppliers in large lots. Inspection of a sample of n components can be viewed as the n trials of a binomial experimem. The outcome for each component tested (trialD will be that the component is classified as good or defective defective components in the lot do not exceed 1 %. Suppose a random sample of fiver...